Abductive visual perception with feature clouds

Proceedings of the International Conference on Knowledge Representation and Reasoning

Volumn , Issue , 2006, Pages 352-361

  Randell, David ^a   Witkowski, Mark ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ENCODING (SYMBOLS); FEATURE EXTRACTION; OBJECT RECOGNITION; ROBOT PROGRAMMING;

COGNITIVE ROBOTICS; DEDUCTIVE REASONING; DIMENSIONAL REPRESENTATION; DOMAIN INDEPENDENTS; EMBODIED PERCEPTIONS; NUMERICAL INFORMATION; POSITION AND ORIENTATIONS; STRUCTURAL COMPLEXITY;

KNOWLEDGE REPRESENTATION;

EID: 34548626115     PISSN: 23341025     EISSN: 23341033     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (37)

1. st Int. Conf. on Computer Vision, pp. 35-54.
2. Ballard, D.H. (1991) "Animate Vision", Artificial Intelligence, 48, pp. 57-86.
3. Chang, C-L. and Lee, R. (1973) Symbolic Logic and Mechanical Theorem Proving, Academic Press, Inc.
4. Chella, A., Frixione, M. and Gaglio, S. (2000) "Understanding Dynamic Scenes" Artificial Intelligence, 123(1-2), pp. 89-132.
5. Cyberbotics (2006) "Webots 5: fast prototyping and simulation for mobile robotics", www.cyberbotics.com accessed 28/02/06.
6. David, P., DeMenthon, D., Duraiswami, R. and Samet, H. (2004) "SoftPOSIT: Simultaneous Pose and Correspondence Determination", International Journal of Computer Vision, 59(3), pp. 259-284.
7. DeMenthon, D. and Davis, L.S. (1995) "Model-Based Object Pose in 25 Lines of Code", International Journal of Computer Vision, 15, pp. 123-141.
8. Gibson, J.J. (1979) The Ecological Approach to Visual Perception, Houghton Mifflin.
9. Hall, D.L. and Llinas, J (2001) Handbook of Sensor Fusion, Boca Raton: CRC Press.
10. Haralick, R., Lee, C., Ottenberg, K. and Nolle, M. (1994) "Review and Analysis of Solutions of the Three Point Perspective Pose Estimation Problem", International Journal of Computer Vision, 13, pp. 331-356.
11. Horaud, R., Dornaika, F., Lamiroy, B. and Christy, S. (1997) "Object Pose: The Link Between Weak Perspective, Paraperspective, and Full Perspective", International Journal of Computer Vision, 22(2), pp. 173-189.
12. Hu, Z.Y. and Wu, F.C. (2002) "A Short Note on the Number of Solutions of the Noncoplanar P4P Problem", IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(4), pp. 550-555.
13. Itti, L. and Koch, C. (2001) "Computational Modelling of Visual Attention", Nature Reviews, Neuroscience, 2, March 2001, 11 pp.
14. Khadhouri, B. and Demiris, Y. (2005) "Compound Effects of Top-down and Bottom-up Influences on Visual Attention During Action Recognition", Proc. IJCAI-05, pp. 1458-1463.
15. Koenderink, J.J. and van Doorn, A.J. (1979) "The Internal Representation with Respect to Vision", Biological Cybernetics, 32, pp. 211-216.
16. Lacey, A.R. (1976) A Dictionary of Philosophy; London: Routledge & Kegan Paul.
17. Lee, T.S. and Mumford, D. (2003) "Hierarchical Bayesian Inference in the Visual Cortex", J. Opt. Soc. America A-20(7), pp. 1434-1448.
18. Lowe, D. G. (2004) "Distinctive Image Features from Scale-Invariant Keypoints", International Journal of Computer Vision, 60(2), pp. 91-110.
19. Linsen, L. (2001) "Point Cloud Representation", Tech. Report, Faculty of Computer Science, U. of Karlsruhe.
20. Marr, D. (1982) Vision, New York: W.H. Freeman.
21. Pirri, F. (2005) "The Usual Objects: A First Draft on Decomposing and Reassembling Familiar Objects Images", Proc XXVII Ann. Conf. of the Cognitive Science Society, pp. 1773-1778.
22. Poole, D. (1992) "Logic Programming, Abduction and Probability", Proc. Int. Conf. on Fifth Generation Computer Systems (FGCS'92), pp. 530-538.
23. Poole, D. (1993) "Probabilistic Horn Abduction and Bayesian Networks", Artificial Intelligence, 64(1), pp. 81-129.
24. Poole, D. (1998) "Learning, Bayesian Probability, Graphical Models, and Abduction", in: Flach, P. and Kakas, A. (Eds.), Abduction and Induction: Essays on their Relation and Integration, Kluwer, 1998.
25. Randell, D.A. (2005) "On Logic, Logicism and Logic Based AI", AISBQ, 220, Spring 2005, page 2.
26. Randell, D.A.; Cui, Z; and Cohn, A. G. (1992): "A Spatial Logic based on Regions and'Connection'", in Proc KR92, 1992.
27. Randell, D.A., Witkowski, M. and Shanahan, M. (2001) "From Images to Bodies: Modeling and Exploiting Spatial Occlusion and Motion Parallax", Proc. IJCAI-01, pp. 57-63.
28. Randell, D.A. and Witkowski, M. (2002) "Building Large Composition Tables via Axiomatic Theories", KR-2002, pp. 26-35.
29. Rock, I. (1983) The Logic of Perception, MIT Press.
30. Schmid, C., and Mohr, R. (1997) "Local Grayvalue Invariants for Image Retrieval", IEEE Trans. on Pattern Analysis and Machine Intelligence, 19(5), pp. 530-534.
31. Shanahan, M.P. (1996) "Robotics and the Common Sense Informatic Situation", ECAI-96, pp. 684-688.
32. Shanahan, M.P. (1997) "Noise, Non-Determinism and Spatial Uncertainty", AAAI-97, pp. 153-158.
33. Shanahan, M.P. (2002) "A Logical Account of Perception Incorporating Feedback and Expectation", KR-2002, pp. 3-13.
34. Shanahan, M.P. (2004) "An Attempt to Formalise a Non-Trivial Benchmark Problem in Common Sense Reasoning", Artificial Intelligence, vol. 153, pp. 141-165.
35. Shanahan, M.P. (2005) "Perception as Abduction: Turning Sensor Data into Meaningful Representation", Cognitive Science, 29, pp. 103-134.
36. Shanahan, M.P. and Randell, D.A. (2004) "A Logic-Based Formulation of Active Visual Perception", KR-2004, pp. 64-72.
37. Shiffenbauer, R.D. (2001) "A Survey of Aspect Graphs", Technical Report, Polytechnic University of Brooklyn, Long Island and Westchester, Dept. Computer and Information Science, TR-CIS-2001-01.